Warehousing Analytics Opportunities for CONNECTED WAREHOUSES
Starting with this issue, we are introducing an Infographics section for easy to comprehend supply chain concepts. The infographics section will be presented by Kumar Singh, leading global supply chain consultant.
Kumar Singh is a Research Director with SAPinsider, a technology research company focused on SAP ecosystem. Prior to that, he founded Smart Supply Chain LLC and was an analytics consultant with Boston Consulting Group (BCG). Kumar has been working in Supply Chain analytics domain for 12+ years now and has helped companies across industries leverage analytics to transform their supply chains.
Many executives may not be aware that equipment and assets in their warehouses may have come pre-loaded with sensors. They are probably already capturing and relaying data and chances are that no one has ever looked at that data.
Even if your warehouse may not be a smart warehouse, your warehouse and yard operations may still be capturing a ton of data through sensors and digital track and trace devices.
Sensors and Digital Track and Trace
Warehouse Analytics opportunities for connected warehouses
Even if your warehouse may not be a smart warehouse, your warehouse and yard operations may still be capturing a ton of data through sensors and digital track and trace devices.
/kumarssingh
2021-2030 The Decade of Supply Chain Tech
Yard Warehouse
Data captured by sensors and digital track and trace devices in warehouses are treasure troves if you leverage analytics prudently If you already have the infrastructure in place to collect and centralize this data, you can build a quick and dirty warehouse analytics platform in weeks, with open-source tools
Analy�cs opportuni�es aboundYard ….few examples
Warehouse
If your yard captures load numbers or trailer numbers, your ERP has product assigned to loads. You can build a Most of that data, in my opinion, is not leveraged to its full potential. I think that track and trace data, in combination with sensor real time tracker of which Inbound load is already in the yardData captured by sensors and digital track and trace devices in warehouses If you already have the infrastructure in place to collect and centralize this data, you can build a quick and dirty generated data can be use beyond track and trace. The good part is, if you have the skilled resources, you can build a warehouse A load dispatch time for an Inbound can calculate the expected arrival time, based on an algorithm that hasare treasure troves if you leverage warehouse analytics platform in weeks, with openSensors and Digital Track and Trace analytics platform to do all this with no investment in any tech solution, using open-source tools. -source
analytics prudently “learned” transit time in the real world from historical data ( based on ltools ane, carrier, product, dispatch time window, day of the week etc. etc.). You can plan your warehouse dock operations better since Inbound are the ones on which you don’t have much control. Analytics opportunities abound….few examples
Within warehouse four walls, if you are capturing the right level of data, you can build a symbiotic simulation model that will be a If your yard captures load numbers or trailer numbers, your ERP has product assigned to loads. You can build a near real time simulation of your warehouse operations. Can be done entirely real time tracker of which Inbound load is already in the yardwith open-source tools or with off the shelf simulation tools and open-source programming tools. A load dispatch time for an Inbound can calculate the expected arrival time, based on an algorithm that has
You can also use the data to run other forms of prescriptive analytics approaches. Warehouse schedule optim“learned” transit time in the real world from historical data ( based on lane, carrier, product, ization, flow optimization, Inventory planning etc. And once you master these in piecemeal approaches, you can build one intdispatch time window, day of the week etc. etc.). You can plan your warehouse dock operations egrated platform that optimizes end to end warehouse and yard operations. This end-tobetter since Inbound are the ones on which you don’t have much control. end algorithm though will need to connect into other systems like Manufacturing and transportation planning systems. Within warehouse four walls, if you are capturing the right level of data, you can build a symbiotic simulation model that will be a near real time simulation of your warehouse operations. Can be done entirely with open-source tools or with off the shelf simulation tools and open-source programming tools.
You can also use the data to run other forms of prescriptive analytics approaches. Warehouse schedule optimization, flow optimization, Inventory planning etc. And once you master these in piecemeal approaches, you can build one integrated platform that optimizes end to end warehouse and yard operations. This end-to-end algorithm though will need to connect into other systems like Manufacturing and transportation planning systems.
